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@@ -3,29 +3,23 @@ library_name: peft
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  base_model: mistralai/Mistral-7B-v0.1
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  pipeline_tag: text-generation
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  ---
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-
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- Description: SQL generation given a table and question
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- Original dataset: wikisql
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-
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- Try querying this adapter for free in Lora Land at https://predibase.com/lora-land\n
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- The `adapter_category` is `Reasoning` and the name is `WikiSQL (SQL Generation)`
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-
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- ### Example:
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-
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- Sample input:
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- Considering the provided database schema and associated query, produce SQL code to retrieve the answer to the query.\n### Database Schema: {'header': ['Game', 'Date', 'Opponent', 'Score', 'Decision', 'Location/Attendance', 'Record'], 'types': ['real', 'real', 'text', 'text', 'text', 'text', 'text'], 'rows': [array(['77', '1', 'Pittsburgh Penguins', '1-6', 'Brodeur',
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  'Mellon Arena - 17,132', '47-26-4'], dtype=object), array(['78', '3', 'Tampa Bay Lightning', '4-5 (OT)', 'Brodeur',
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  'Prudential Center - 17,625', '48-26-4'], dtype=object), array(['79', '4', 'Buffalo Sabres', '3-2', 'Brodeur',
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  'HSBC Arena - 18,690', '49-26-4'], dtype=object), array(['80', '7', 'Toronto Maple Leafs', '4-1', 'Brodeur',
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  'Prudential Center - 15,046', '49-27-4'], dtype=object), array(['81', '9', 'Ottawa Senators', '3-2 (SO)', 'Brodeur',
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  'Scotiabank Place - 20,151', '50-27-4'], dtype=object), array(['82', '11', 'Carolina Hurricanes', '2-3', 'Brodeur',
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  'Prudential Center - 17,625', '51-27-4'], dtype=object)]}\n### Query: What is Score, when Game is greater than 78, and when Date is "4"?\n### SQL: \
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-
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- Sample output:
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- SELECT Score FROM table WHERE Game > 78 AND Date = 4\
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-
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- ### Try using this adapter yourself!
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-
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  ```
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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  base_model: mistralai/Mistral-7B-v0.1
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  pipeline_tag: text-generation
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  ---
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+ Description: SQL generation given a table and question\
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+ Original dataset: wikisql \
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+ ---\
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+ Try querying this adapter for free in Lora Land at https://predibase.com/lora-land! \
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+ The adapter_category is Reasoning and the name is WikiSQL (SQL Generation)\
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+ ---\
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+ Sample input: Considering the provided database schema and associated query, produce SQL code to retrieve the answer to the query.\n### Database Schema: {'header': ['Game', 'Date', 'Opponent', 'Score', 'Decision', 'Location/Attendance', 'Record'], 'types': ['real', 'real', 'text', 'text', 'text', 'text', 'text'], 'rows': [array(['77', '1', 'Pittsburgh Penguins', '1-6', 'Brodeur',
 
 
 
 
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  'Mellon Arena - 17,132', '47-26-4'], dtype=object), array(['78', '3', 'Tampa Bay Lightning', '4-5 (OT)', 'Brodeur',
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  'Prudential Center - 17,625', '48-26-4'], dtype=object), array(['79', '4', 'Buffalo Sabres', '3-2', 'Brodeur',
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  'HSBC Arena - 18,690', '49-26-4'], dtype=object), array(['80', '7', 'Toronto Maple Leafs', '4-1', 'Brodeur',
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  'Prudential Center - 15,046', '49-27-4'], dtype=object), array(['81', '9', 'Ottawa Senators', '3-2 (SO)', 'Brodeur',
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  'Scotiabank Place - 20,151', '50-27-4'], dtype=object), array(['82', '11', 'Carolina Hurricanes', '2-3', 'Brodeur',
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  'Prudential Center - 17,625', '51-27-4'], dtype=object)]}\n### Query: What is Score, when Game is greater than 78, and when Date is "4"?\n### SQL: \
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+ ---\
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+ Sample output: SELECT Score FROM table WHERE Game > 78 AND Date = 4\
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+ ---\
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+ Try using this adapter yourself!
 
 
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  ```
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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